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GPT-5.6 Luna Cost Calculator

GPT-5.6 Luna is the efficient tier of the GPT-5.6 family: same 1M+ context window at $1/$6 per 1M tokens — 5x cheaper than the flagship, with $0.10 cached input.

Input

$1.00

per 1M tokens

Output

$6.00

per 1M tokens

Context window

1050K

tokens

Released

2026-06

Cutoff —

Model

✓ Exact tokenizer·$1.00 in·$6.00 out (per 1M)

Quick start with a use case

Input tokens

Output tokens

Total cost per call$0.004000

Input$0.001000

Output$0.003000

Cost comparison

Standard

$0.004000

With Caching

$0.003550

Save 11% ↓

With Batch

$0.002000

Save 50% ↓

Cutting costs? Open models start at $0.14/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

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Detailed pricing

GPT-5.6 Luna pricing breakdown

All pricing dimensions including caching and batch discounts.

Type	Price (per 1M tokens)	Note
Input	$1.0000	Standard input tokens
Output	$6.0000	Generated output tokens
Cached input	$0.1000	Reused prompt content
Cache write	$1.2500	First-time cache deposit (Anthropic / Gemini style)
Batch input	$0.5000	~24h delay, 50% off
Batch output	$3.0000	Batch API output

Cutting costs? Open models start at $0.14/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

Affiliate link — we may earn a commission at no extra cost to you.

Last verified 2026-07-18 · OpenAI official pricing · ⚠️ Spotted a wrong price? Report in 30s →

How it compares

GPT-5.6 Luna vs alternatives

Single-call cost (1000 input + 500 output tokens) ranked from cheapest.

Model	Per call	vs 5.6 Luna
GPT-5.6 Luna OpenAI · this page	$0.004000	—
DeepSeek V4-Flash DeepSeek	$0.000280	−93%
DeepSeek V3.2 DeepSeek	$0.000480	−88%
GPT-5 mini OpenAI	$0.001250	−69%
Mistral Large 3 Mistral	$0.001250	−69%
Gemini 3 Flash Google	$0.002000	−50%

Recommended use

When to choose GPT-5.6 Luna

GPT-5.6 Luna shines for general-purpose tasks, image and document understanding, high-throughput, and low-latency tasks. Token counts on this page are exact via the official tokenizer.

✓Context window of 1050K tokens handles entire codebases or book-length documents.

✓Prompt caching available — significant savings for repeated system prompts.

✓Batch API support for non-realtime workloads at ~50% discount.

✓Tool / function calling supported.

FAQ

Frequently asked questions

GPT-5.6 Luna costs $1.00 per 1M input tokens and $6.00 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.0040. Use the calculator above to estimate your specific use case.